chore: ran linting

surfsense_backend/alembic/versions/139_add_user_to_zero_publication.py

@@ -90,7 +90,9 @@ def _has_zero_version(conn, table: str) -> bool:
     )
 
 
-def _build_publication_ddl(documents_has_zero_ver: bool, user_has_zero_ver: bool) -> str:
+def _build_publication_ddl(
+    documents_has_zero_ver: bool, user_has_zero_ver: bool
+) -> str:
     doc_cols = DOCUMENT_COLS + (['"_0_version"'] if documents_has_zero_ver else [])
     user_cols = USER_COLS + (['"_0_version"'] if user_has_zero_ver else [])
     doc_col_list = ", ".join(doc_cols)

surfsense_backend/app/config/__init__.py

@@ -286,9 +286,7 @@ def initialize_openrouter_integration():
 
         if new_configs:
             config.GLOBAL_LLM_CONFIGS.extend(new_configs)
-            free_count = sum(
-                1 for c in new_configs if c.get("billing_tier") == "free"
-            )
+            free_count = sum(1 for c in new_configs if c.get("billing_tier") == "free")
             premium_count = sum(
                 1 for c in new_configs if c.get("billing_tier") == "premium"
             )

surfsense_backend/app/services/auto_model_pin_service.py

@@ -277,9 +277,7 @@ async def resolve_or_get_pinned_llm_config_id(
         c for c in _global_candidates() if int(c.get("id", 0)) not in excluded_ids
     ]
     if not candidates:
-        raise ValueError(
-            "No usable global LLM configs are available for Auto mode"
-        )
+        raise ValueError("No usable global LLM configs are available for Auto mode")
     candidate_by_id = {int(c["id"]): c for c in candidates}
 
     # Reuse an existing valid pin without re-checking current quota (no silent

surfsense_backend/app/services/openrouter_integration_service.py

@@ -405,9 +405,7 @@ class OpenRouterIntegrationService:
         # Re-blend health scores against the freshly fetched catalogue. Also
         # re-stamps health for any YAML-curated cfg with provider==OPENROUTER
         # so a hand-picked dead OR model is gated like a dynamic one.
-        await self._enrich_health_safely(
-            static_configs + new_configs, log_summary=True
-        )
+        await self._enrich_health_safely(static_configs + new_configs, log_summary=True)
 
         # Rebuild the LiteLLM router so freshly fetched configs flow through
         # (dynamic OR premium entries now opt into the pool, free ones stay
@@ -415,8 +413,8 @@ class OpenRouterIntegrationService:
         # reset cached context-window profiles).
         try:
             from app.config import config as _app_config
-            from app.services.llm_router_service import LLMRouterService
             from app.services.llm_router_service import (
+                LLMRouterService,
                 _router_instance_cache as _chat_router_cache,
             )
 
@@ -426,9 +424,7 @@ class OpenRouterIntegrationService:
             )
             _chat_router_cache.clear()
         except Exception as exc:
-            logger.warning(
-                "OpenRouter refresh: router rebuild skipped (%s)", exc
-            )
+            logger.warning("OpenRouter refresh: router rebuild skipped (%s)", exc)
 
     @staticmethod
     def _tier_counts(configs: list[dict]) -> dict[str, int]:
@@ -475,19 +471,11 @@ class OpenRouterIntegrationService:
             return
 
         premium_pool = sorted(
-            [
-                c
-                for c in or_cfgs
-                if str(c.get("billing_tier", "")).lower() == "premium"
-            ],
+            [c for c in or_cfgs if str(c.get("billing_tier", "")).lower() == "premium"],
             key=lambda c: -int(c.get("quality_score_static") or 0),
         )[:_HEALTH_ENRICH_TOP_N_PREMIUM]
         free_pool = sorted(
-            [
-                c
-                for c in or_cfgs
-                if str(c.get("billing_tier", "")).lower() == "free"
-            ],
+            [c for c in or_cfgs if str(c.get("billing_tier", "")).lower() == "free"],
             key=lambda c: -int(c.get("quality_score_static") or 0),
         )[:_HEALTH_ENRICH_TOP_N_FREE]
         # De-duplicate while preserving order: a cfg shouldn't fall in both
@@ -507,9 +495,7 @@ class OpenRouterIntegrationService:
         api_key = str(self._settings.get("api_key") or "")
         semaphore = asyncio.Semaphore(_HEALTH_ENRICH_CONCURRENCY)
 
-        async with httpx.AsyncClient(
-            timeout=_HEALTH_FETCH_TIMEOUT_SEC
-        ) as client:
+        async with httpx.AsyncClient(timeout=_HEALTH_FETCH_TIMEOUT_SEC) as client:
             results = await asyncio.gather(
                 *(
                     self._fetch_endpoints(client, semaphore, api_key, cfg)

surfsense_backend/app/services/quality_score.py

@@ -7,12 +7,12 @@ sort and a SHA256 pick.
 
 Score components (0-100 scale, higher is better):
 
-* ``static_score_or``    – derived from the bulk ``/api/v1/models`` payload
+* ``static_score_or``    - derived from the bulk ``/api/v1/models`` payload
   (provider prestige + ``created`` recency + pricing band + context window
   + capabilities + narrow tiny/legacy slug penalty).
-* ``static_score_yaml``  – same shape for hand-curated YAML configs, plus
+* ``static_score_yaml``  - same shape for hand-curated YAML configs, plus
   an operator-trust bonus (the operator deliberately picked this model).
-* ``aggregate_health``   – run on per-model ``/api/v1/models/{id}/endpoints``
+* ``aggregate_health``   - run on per-model ``/api/v1/models/{id}/endpoints``
   responses; returns ``(gated, score_or_none)``.
 
 The blended ``quality_score`` (0.5 * static + 0.5 * health) is computed in
@@ -281,9 +281,7 @@ def static_score_yaml(cfg: dict) -> int:
     model_name = cfg.get("model_name") or ""
     litellm_params = cfg.get("litellm_params") or {}
     lookup_name = (
-        litellm_params.get("base_model")
-        or litellm_params.get("model")
-        or model_name
+        litellm_params.get("base_model") or litellm_params.get("model") or model_name
     )
 
     ctx = 0

surfsense_backend/app/tasks/chat/stream_new_chat.py

@@ -1814,7 +1814,9 @@ async def _stream_agent_events(
                 resolved_path = _extract_resolved_file_path(
                     tool_name=tool_name,
                     tool_output=tool_output,
-                    tool_input={"file_path": staged_file_path} if staged_file_path else None,
+                    tool_input={"file_path": staged_file_path}
+                    if staged_file_path
+                    else None,
                 )
                 result_text = _tool_output_to_text(tool_output)
                 if _tool_output_has_error(tool_output):
@@ -2441,8 +2443,7 @@ async def stream_new_chat(
                 await _preflight_llm(llm)
                 mark_healthy(llm_config_id)
                 _perf_log.info(
-                    "[stream_new_chat] auto_pin_preflight ok config_id=%s "
-                    "took=%.3fs",
+                    "[stream_new_chat] auto_pin_preflight ok config_id=%s took=%.3fs",
                     llm_config_id,
                     time.perf_counter() - _t_preflight,
                 )
@@ -2891,7 +2892,11 @@ async def stream_new_chat(
 
                     # Inject title update mid-stream as soon as the background
                     # task finishes.
-                    if title_task is not None and title_task.done() and not title_emitted:
+                    if (
+                        title_task is not None
+                        and title_task.done()
+                        and not title_emitted
+                    ):
                         generated_title, title_usage = title_task.result()
                         if title_usage:
                             accumulator.add(**title_usage)
@@ -2944,7 +2949,9 @@ async def stream_new_chat(
                     )
                 ).resolved_llm_config_id
 
-                llm, agent_config, llm_load_error = await _load_llm_bundle(llm_config_id)
+                llm, agent_config, llm_load_error = await _load_llm_bundle(
+                    llm_config_id
+                )
                 if llm_load_error:
                     raise stream_exc
 
@@ -3480,8 +3487,7 @@ async def stream_resume_chat(
                 await _preflight_llm(llm)
                 mark_healthy(llm_config_id)
                 _perf_log.info(
-                    "[stream_resume] auto_pin_preflight ok config_id=%s "
-                    "took=%.3fs",
+                    "[stream_resume] auto_pin_preflight ok config_id=%s took=%.3fs",
                     llm_config_id,
                     time.perf_counter() - _t_preflight,
                 )
@@ -3684,7 +3690,9 @@ async def stream_resume_chat(
                     )
                 ).resolved_llm_config_id
 
-                llm, agent_config, llm_load_error = await _load_llm_bundle(llm_config_id)
+                llm, agent_config, llm_load_error = await _load_llm_bundle(
+                    llm_config_id
+                )
                 if llm_load_error:
                     raise stream_exc
 

surfsense_backend/tests/unit/services/test_auto_model_pin_service.py

@@ -574,7 +574,7 @@ async def test_top_k_picks_only_high_score_models(monkeypatch):
     monkeypatch.setattr(
         config,
         "GLOBAL_LLM_CONFIGS",
-        high_score_cfgs + [low_score_trap],
+        [*high_score_cfgs, low_score_trap],
     )
 
     async def _allowed(*_args, **_kwargs):

surfsense_backend/tests/unit/services/test_llm_router_pool_filter.py

@@ -96,9 +96,12 @@ def test_router_pool_includes_or_premium_excludes_or_free():
         ),
     ]
 
-    with patch("app.services.llm_router_service.Router") as mock_router, patch(
-        "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
-    ) as mock_ctx_fb:
+    with (
+        patch("app.services.llm_router_service.Router") as mock_router,
+        patch(
+            "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
+        ) as mock_ctx_fb,
+    ):
         mock_ctx_fb.side_effect = lambda ml: (ml, None)
         mock_router.return_value = object()
         LLMRouterService.initialize(configs)
@@ -124,9 +127,10 @@ def test_router_pool_includes_or_premium_excludes_or_free():
     assert "openrouter/openai/gpt-4o" in prem
     assert LLMRouterService.is_premium_model("openrouter/openai/gpt-4o") is True
     # Dynamic OR free never enters the pool, so it's never counted as premium.
-    assert LLMRouterService.is_premium_model(
-        "openrouter/meta-llama/llama-3.3-70b:free"
-    ) is False
+    assert (
+        LLMRouterService.is_premium_model("openrouter/meta-llama/llama-3.3-70b:free")
+        is False
+    )
 
 
 def test_router_pool_filter_mechanics_respect_override():
@@ -147,9 +151,12 @@ def test_router_pool_filter_mechanics_respect_override():
         ),
     ]
 
-    with patch("app.services.llm_router_service.Router") as mock_router, patch(
-        "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
-    ) as mock_ctx_fb:
+    with (
+        patch("app.services.llm_router_service.Router") as mock_router,
+        patch(
+            "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
+        ) as mock_ctx_fb,
+    ):
         mock_ctx_fb.side_effect = lambda ml: (ml, None)
         mock_router.return_value = object()
         LLMRouterService.initialize(configs)
@@ -167,13 +174,17 @@ def test_rebuild_refreshes_pool_after_configs_change():
     configs_v1 = [
         _fake_yaml_config(id=-1, model_name="gpt-4o", billing_tier="premium"),
     ]
-    configs_v2 = configs_v1 + [
+    configs_v2 = [
+        *configs_v1,
         _fake_yaml_config(id=-2, model_name="gpt-4o-mini", billing_tier="free"),
     ]
 
-    with patch("app.services.llm_router_service.Router") as mock_router, patch(
-        "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
-    ) as mock_ctx_fb:
+    with (
+        patch("app.services.llm_router_service.Router") as mock_router,
+        patch(
+            "app.services.llm_router_service.LLMRouterService._build_context_fallback_groups"
+        ) as mock_ctx_fb,
+    ):
         mock_ctx_fb.side_effect = lambda ml: (ml, None)
         mock_router.return_value = object()
 

surfsense_backend/tests/unit/services/test_openrouter_integration_service.py

@@ -214,5 +214,3 @@ def test_generate_configs_drops_non_text_and_non_tool_models():
     assert "openai/gpt-4o" in model_names
     assert "openai/dall-e" not in model_names
     assert "openai/completion-only" not in model_names
-
-

surfsense_backend/tests/unit/services/test_openrouter_legacy_config.py

@@ -68,9 +68,7 @@ openrouter_integration:
     assert "deprecated" in captured
 
 
-def test_new_keys_take_priority_over_legacy_back_compat(
-    monkeypatch, tmp_path, capsys
-):
+def test_new_keys_take_priority_over_legacy_back_compat(monkeypatch, tmp_path, capsys):
     """If both legacy and new keys are present, new keys win (setdefault)."""
     _write_yaml(
         tmp_path,

surfsense_backend/tests/unit/services/test_quality_score.py

@@ -106,9 +106,12 @@ def test_context_signal_bands(ctx, expected):
 
 
 def test_capabilities_signal_caps_at_five():
-    assert capabilities_signal(
-        ["tools", "structured_outputs", "reasoning", "include_reasoning"]
-    ) <= 5
+    assert (
+        capabilities_signal(
+            ["tools", "structured_outputs", "reasoning", "include_reasoning"]
+        )
+        <= 5
+    )
 
 
 def test_capabilities_signal_tools_only():

surfsense_backend/tests/unit/test_stream_new_chat_contract.py

@@ -13,8 +13,8 @@ from app.tasks.chat.stream_new_chat import (
     StreamResult,
     _classify_stream_exception,
     _contract_enforcement_active,
-    _extract_resolved_file_path,
     _evaluate_file_contract_outcome,
+    _extract_resolved_file_path,
     _log_chat_stream_error,
     _tool_output_has_error,
 )
@@ -222,7 +222,7 @@ async def test_preflight_swallows_non_rate_limit_errors_and_re_raises_429(monkey
 
     from app.tasks.chat.stream_new_chat import _preflight_llm
 
-    class _RateLimitedExc(Exception):
+    class _RateLimitedError(Exception):
         """Class-name carries 'RateLimit' so _is_provider_rate_limited triggers."""
 
     rate_calls: list[dict] = []
@@ -230,7 +230,7 @@ async def test_preflight_swallows_non_rate_limit_errors_and_re_raises_429(monkey
 
     async def _fake_acompletion_429(**kwargs):
         rate_calls.append(kwargs)
-        raise _RateLimitedExc("simulated 429")
+        raise _RateLimitedError("simulated 429")
 
     async def _fake_acompletion_other(**kwargs):
         other_calls.append(kwargs)
@@ -245,7 +245,7 @@ async def test_preflight_swallows_non_rate_limit_errors_and_re_raises_429(monkey
     import litellm  # type: ignore[import-not-found]
 
     monkeypatch.setattr(litellm, "acompletion", _fake_acompletion_429)
-    with pytest.raises(_RateLimitedExc):
+    with pytest.raises(_RateLimitedError):
         await _preflight_llm(fake_llm)
     assert len(rate_calls) == 1
     assert rate_calls[0]["max_tokens"] == 1

surfsense_web/components/assistant-ui/markdown-text.tsx

@@ -19,6 +19,7 @@ import remarkMath from "remark-math";
 import { openEditorPanelAtom } from "@/atoms/editor/editor-panel.atom";
 import { ImagePreview, ImageRoot, ImageZoom } from "@/components/assistant-ui/image";
 import "katex/dist/katex.min.css";
+import { toast } from "sonner";
 import { processChildrenWithCitations } from "@/components/citations/citation-renderer";
 import { Skeleton } from "@/components/ui/skeleton";
 import {
@@ -33,7 +34,6 @@ import { useElectronAPI } from "@/hooks/use-platform";
 import { documentsApiService } from "@/lib/apis/documents-api.service";
 import { type CitationUrlMap, preprocessCitationMarkdown } from "@/lib/citations/citation-parser";
 import { cn } from "@/lib/utils";
-import { toast } from "sonner";
 
 function MarkdownCodeBlockSkeleton() {
 	return (
@@ -207,13 +207,7 @@ function isStandaloneDocumentsPathText(node: ReactNode): string | null {
 	return value;
 }
 
-function FilePathLink({
-	path,
-	className,
-}: {
-	path: string;
-	className?: string;
-}) {
+function FilePathLink({ path, className }: { path: string; className?: string }) {
 	const openEditorPanel = useSetAtom(openEditorPanelAtom);
 	const params = useParams();
 	const electronAPI = useElectronAPI();
@@ -221,7 +215,9 @@ function FilePathLink({
 	const parsedSearchSpaceId = Array.isArray(searchSpaceIdParam)
 		? Number(searchSpaceIdParam[0])
 		: Number(searchSpaceIdParam);
-	const resolvedSearchSpaceId = Number.isFinite(parsedSearchSpaceId) ? parsedSearchSpaceId : undefined;
+	const resolvedSearchSpaceId = Number.isFinite(parsedSearchSpaceId)
+		? parsedSearchSpaceId
+		: undefined;
 
 	return (
 		<button

surfsense_web/lib/apis/documents-api.service.ts

@@ -5,6 +5,7 @@ import {
 	type DeleteDocumentRequest,
 	deleteDocumentRequest,
 	deleteDocumentResponse,
+	documentTitleRead,
 	type GetDocumentByChunkRequest,
 	type GetDocumentChunksRequest,
 	type GetDocumentRequest,
@@ -28,7 +29,6 @@ import {
 	getSurfsenseDocsRequest,
 	getSurfsenseDocsResponse,
 	type SearchDocumentsRequest,
-	documentTitleRead,
 	type SearchDocumentTitlesRequest,
 	searchDocumentsRequest,
 	searchDocumentsResponse,
@@ -270,15 +270,15 @@ class DocumentsApiService {
 		);
 	};
 
-	getDocumentByVirtualPath = async (request: {
-		search_space_id: number;
-		virtual_path: string;
-	}) => {
+	getDocumentByVirtualPath = async (request: { search_space_id: number; virtual_path: string }) => {
 		const params = new URLSearchParams({
 			search_space_id: String(request.search_space_id),
 			virtual_path: request.virtual_path,
 		});
-		return baseApiService.get(`/api/v1/documents/by-virtual-path?${params.toString()}`, documentTitleRead);
+		return baseApiService.get(
+			`/api/v1/documents/by-virtual-path?${params.toString()}`,
+			documentTitleRead
+		);
 	};
 
 	/**